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Search results for pytorch gym environment
gym-environment
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pytorch
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11 search results found
Rainbow Is All You Need
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1,637
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Vectorizedmultiagentsimulator
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210
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Hierarchical Actor Critic Hac Pytorch
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154
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Gym
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55
Fully differentiable RL environments, written in Ivy.
2048_env
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29
2048 environment for Reinforcement Learning and DQN algorithm
Drlkit
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29
A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
Rl Policies Attacks Defenses
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26
Adversarial attacks on Deep Reinforcement Learning (RL)
Gym Microrts Paper Sb3
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19
RL agent to play μRTS with Stable-Baselines3 and PyTorch
Stochastic Muzero
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14
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
Spacefortress
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9
OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206
Mancala
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6
Mancala board game, written in python. The rule is Kalah and can be extended.
Muzero
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6
Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
Deep Q Learning Atari Pytorch
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5
Reinforcement Learning on Atari Games and Control
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